The mapping of existing initiatives to increase the FAIRness of both nanomaterials and mixture toxicity datasets and computational approaches for toxicity and mixture assessment is a critical step towards identifying both the domain- specific features and the general features needed to maximise data and model FAIRness.

Building on this mapping, and the development of a FIP, the case study will foster development and piloting of interoperability standards and guidelines for increasing FAIRness in the interlinked scientific disciplines (chemical toxicity, nanomaterials toxicity and characterisation, risk assessment, advanced materials, environmental science), and across the different domains.

This case study will enable the further adoption of the FAIR principles by the international nanomaterial community and encourage greater alignment with neighbouring disciplines and communities.

It builds on the partners’ successful collaboration in NanoCommons (a research infrastructure for nanoinformatics and FAIR nanomaterials data) and their leadership of the IUPAC InChI Trust efforts to develop a standard extension of the InChI for nanomaterials.

It will test the pilot operationalisation of the FAIR principles; run conference sessions and workshops with stakeholders (including the InChI-for-nano domain experts, and international ‘nano’ database managers and their users) to apply, refine, implement, improve the metrics for FAIR nanosafety datasets; and develop an inventory of FAIR nanoinformatics models and their domains of applicability, underpinning datasets and APIs to support interoperability, including guidelines to further improve the interoperability of nanoinformatics models.

The results will include complete human- and machine-readable nanomaterials data provenance trails that can be implemented in a straightforward way using the distributed FAIRification approach.


Work Package Leads

Iseult Lynch,
University of Birmingham

Nanomaterials Events